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The ABC’s Of Algo-Trading (Robots)
Wednesday, December 14, 2016
Expert: Barry Norman- Forex
- CFD
- Algo Trading
- Beginners
There are many approaches to building an automated trading system. In this class, we will review several of the major ones. In future classes, we will start building a robo system together. There are literally 1000’s of robotic trading systems already available for Meta4 & 5 platforms or downloadable fitting every need and trader. We will review these as well as consider building your own or adapting one to fit your own trading system. Most robotic or Algo systems on the market are easily customizable so that you are not trading from a blackbox.
The first approach and the most popular– buying a ready-made trading system in the form of a trading robot. In this case, a trader acts as an operator or a tuner. This approach saves much time no need to learn many new things and allows traders to quickly enter the world of the automated trading. Most of these are customizable and adjustable.
The second approach is based on studying the market laws. No attempts are made to understand why the price goes up or down when various technical analysis figures appear on a chart. The advantage of this approach is that it requires no special knowledge of mathematics and makes no assumptions about the market driving force.
The third approach is based on the attempt to create a «black box» based on neural networks with the use of the ready-made tools widely available in special software and math packages. Creation of an automated trading system with the elements of the artificial intelligence is an exciting and challenging task even for newcomers, as it requires neither deep mathematical background, nor programming experience - everything is done using visual aids.
The last approach rests on math. A developer tries to create a sort of an equation that can consider many factors.
A trader should know the basics of technical indicators, possess an ability to prepare necessary price data and experience in some definite package for working with neural networks. The main drawback of this approach is that a trading robot obtained using such specialized tools for working with neural networks is actually a "black box". Traders do not know it’s working principles and, generally, it is impossible to predict what market phase will be the most problematic for the robot.
What we will learn in this class
Ø The different approaches to Algo trading
Ø Which indicators and oscillators work best for automatic trading
Ø How to customize your robot
Ø How to back test in a safe environment before letting your system lose.
Barry Norman
is the Director of Investors Trading Academy as well as a published author and educator. Barry brings with him over 35 years of financial market knowledge and experience. He holds an MBA in Finance and Economics from UCLA and an undergraduate degree in Economics from the University of Maryland. Barry was award the title of “Best Education in Europe” by Global Banking & Finance. Barry is also a presenter for the MoneyShow and many well-known news sources.
The first approach and the most popular– buying a ready-made trading system in the form of a trading robot. In this case, a trader acts as an operator or a tuner. This approach saves much time no need to learn many new things and allows traders to quickly enter the world of the automated trading. Most of these are customizable and adjustable.
The second approach is based on studying the market laws. No attempts are made to understand why the price goes up or down when various technical analysis figures appear on a chart. The advantage of this approach is that it requires no special knowledge of mathematics and makes no assumptions about the market driving force.
The third approach is based on the attempt to create a «black box» based on neural networks with the use of the ready-made tools widely available in special software and math packages. Creation of an automated trading system with the elements of the artificial intelligence is an exciting and challenging task even for newcomers, as it requires neither deep mathematical background, nor programming experience - everything is done using visual aids.
The last approach rests on math. A developer tries to create a sort of an equation that can consider many factors.
A trader should know the basics of technical indicators, possess an ability to prepare necessary price data and experience in some definite package for working with neural networks. The main drawback of this approach is that a trading robot obtained using such specialized tools for working with neural networks is actually a "black box". Traders do not know it’s working principles and, generally, it is impossible to predict what market phase will be the most problematic for the robot.
What we will learn in this class
Ø The different approaches to Algo trading
Ø Which indicators and oscillators work best for automatic trading
Ø How to customize your robot
Ø How to back test in a safe environment before letting your system lose.
Barry Norman
is the Director of Investors Trading Academy as well as a published author and educator. Barry brings with him over 35 years of financial market knowledge and experience. He holds an MBA in Finance and Economics from UCLA and an undergraduate degree in Economics from the University of Maryland. Barry was award the title of “Best Education in Europe” by Global Banking & Finance. Barry is also a presenter for the MoneyShow and many well-known news sources.